Prediction of Nonlinear Time Series Data with Chaotic Patterns using Feedforward Neural Network Method
Prediction of Nonlinear Time Series Data with Chaotic Patterns using Feedforward Neural Network Method

강원대학교 기초과학연구소
기초과학연구
제9집
1998.12

1 - 11 (11 pages)

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The aim of this paper are to investigate the prediction of time series data with chaotic patterns using FNN(Feedforward Neural Network) models. We present the neural network modeling techniques and describe to construct suitable neural network for the BCI index data. The simulation results confirms that the performance of the FNN model is superior to the performance of the OLS model.

1. Introduction 2. Feedforward Neural Network Model 3. Simulation and Results 4. Conclusion Reference

Prediction of Nonlinear Time Series Data with Chaotic Patterns using Feedforward Neural Network Method
Prediction of Nonlinear Time Series Data with Chaotic Patterns using Feedforward Neural Network Method

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Prediction of Nonlinear Time Series Data with Chaotic Patterns using Feedforward Neural Network Method Prediction of Nonlinear Time Series Data with Chaotic Patterns using Feedforward Neural Network Method

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Prediction of Nonlinear Time Series Data with Chaotic Patterns using Feedforward Neural Network Method
Prediction of Nonlinear Time Series Data with Chaotic Patterns using Feedforward Neural Network Method

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